Development and Application of Advanced Control Strategies for Nonlinear Coupled MIMO Systems.

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Title: Development and Application of Advanced Control Strategies for Nonlinear Coupled MIMO Systems.
Authors: Patel, Alpesh1 alpesh.patel@nirmauni.ac.in, Adhyaru, Dipak1 dipak.adhyaru@nirmauni.ac.in, Patel, Jignesh1 jigneshpatel180673@gmail.com
Source: Serbian Journal of Electrical Engineering. Oct2025, Vol. 22 Issue 3, p453-478. 26p.
Subjects: Multivariable control systems, Predictive control systems, Fuzzy control systems, Automatic control systems, Nonlinear systems, PID controllers
Abstract: This paper presents the design and implementation of advanced control algorithms for a nonlinear coupled Multi-Input Multi-Output (MIMO) system, focusing on the hardware structure of Quadruple Conical Tank System (QCTS). Nonlinear MIMO systems, characterized by complex interactions between multiple inputs and outputs, pose significant challenges for control engineering. The QCTS, with its four interconnected conical tanks, serves as an exemplary testbed for evaluating advanced control strategies. The paper elaborates on the theoretical and practical implementation of Proportional-Integral-Derivative (PID) control, Fuzzy Logic Control (FLC), and Model Predictive Control (MPC), emphasizing their capabilities in managing multi-variable systems with constraints. Additionally, a comparative analysis of MPC with traditional control methods such as PID and FLC is presented. The practical implementation is demonstrated through hardware experiments. The hardware experimental results highlight the strengths and limitations of each control strategy, providing insights into their applicability for complex nonlinear MIMO systems. The findings underscore the superior performance of MPC in handling multi-variable interactions and constraints, making it a robust choice for advanced control applications in industrial processes. [ABSTRACT FROM AUTHOR]
Copyright of Serbian Journal of Electrical Engineering is the property of Serbian Journal of Electrical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Development and Application of Advanced Control Strategies for Nonlinear Coupled MIMO Systems.
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  Data: <searchLink fieldCode="AR" term="%22Patel%2C+Alpesh%22">Patel, Alpesh</searchLink><relatesTo>1</relatesTo><i> alpesh.patel@nirmauni.ac.in</i><br /><searchLink fieldCode="AR" term="%22Adhyaru%2C+Dipak%22">Adhyaru, Dipak</searchLink><relatesTo>1</relatesTo><i> dipak.adhyaru@nirmauni.ac.in</i><br /><searchLink fieldCode="AR" term="%22Patel%2C+Jignesh%22">Patel, Jignesh</searchLink><relatesTo>1</relatesTo><i> jigneshpatel180673@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Serbian+Journal+of+Electrical+Engineering%22">Serbian Journal of Electrical Engineering</searchLink>. Oct2025, Vol. 22 Issue 3, p453-478. 26p.
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  Data: <searchLink fieldCode="DE" term="%22Multivariable+control+systems%22">Multivariable control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+control+systems%22">Fuzzy control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents the design and implementation of advanced control algorithms for a nonlinear coupled Multi-Input Multi-Output (MIMO) system, focusing on the hardware structure of Quadruple Conical Tank System (QCTS). Nonlinear MIMO systems, characterized by complex interactions between multiple inputs and outputs, pose significant challenges for control engineering. The QCTS, with its four interconnected conical tanks, serves as an exemplary testbed for evaluating advanced control strategies. The paper elaborates on the theoretical and practical implementation of Proportional-Integral-Derivative (PID) control, Fuzzy Logic Control (FLC), and Model Predictive Control (MPC), emphasizing their capabilities in managing multi-variable systems with constraints. Additionally, a comparative analysis of MPC with traditional control methods such as PID and FLC is presented. The practical implementation is demonstrated through hardware experiments. The hardware experimental results highlight the strengths and limitations of each control strategy, providing insights into their applicability for complex nonlinear MIMO systems. The findings underscore the superior performance of MPC in handling multi-variable interactions and constraints, making it a robust choice for advanced control applications in industrial processes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Serbian Journal of Electrical Engineering is the property of Serbian Journal of Electrical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.2298/SJEE240917008P
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 453
    Subjects:
      – SubjectFull: Multivariable control systems
        Type: general
      – SubjectFull: Predictive control systems
        Type: general
      – SubjectFull: Fuzzy control systems
        Type: general
      – SubjectFull: Automatic control systems
        Type: general
      – SubjectFull: Nonlinear systems
        Type: general
      – SubjectFull: PID controllers
        Type: general
    Titles:
      – TitleFull: Development and Application of Advanced Control Strategies for Nonlinear Coupled MIMO Systems.
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            NameFull: Patel, Alpesh
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            NameFull: Adhyaru, Dipak
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            NameFull: Patel, Jignesh
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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            – TitleFull: Serbian Journal of Electrical Engineering
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